"Improving the Intelligence of Large Language Models" matching MCP servers:

Enables real-time transcription and heuristic vocal stress analysis of live financial webcasts, providing an LLM with rolling transcripts and a stress score.

Music For Robots catalog — browse and search AI-generated real-time music reviews. Two critics (Vincent Van Goghbot, JS Robach) listen to original compositions and respond with timed observations synchronized to the audio. Query tracks, spectral/harmonic analysis, and full prose reviews.

Deterministic music-theory MCP server and API for AI agents — analyze chords, run Roman-numeral analysis, generate voicings, and reharmonize progressions. Computed from music theory, not hallucinated.

Enables AI assistants to download YouTube videos and transcribe them locally using OpenAI's Whisper speech recognition model.

MCP server for local speech-to-text using Whisper Large V3 (MLX), enabling audio transcription with text/timestamps/SRT output and LLM-based correction, all running offline on Apple Silicon.

Enables generating images, video, audio, and speech from MCP clients using your own Vidofy account, with access to hundreds of models for text-to-video, image-to-video, image editing, lipsync, text-to-speech, and voice cloning.

A modular suite of MCP servers for Audiokinetic Wwise, enabling AI agents to browse, edit, audition, profile, and build Wwise projects through the Wwise Authoring API.

Enables AI models to speak and sing using retro-style formant speech synthesis, converting text or phoneme strings to WAV audio via MCP tools.

Enables reading and creating projects in a local CapCut draft library through natural language — listing timelines, checking for missing media, and generating new edits from clips, with cuts automatically matched to the beat of a track. It works by cloning an existing draft as a structural template, so new projects inherit CapCut's undocumented file format.

Facilitates the creation of DecentSampler drum kit configurations, supporting WAV file analysis and XML generation to ensure accurate sample lengths and well-structured presets.

Enables local audio and video transcription via the audiototext engine, returning detected language, full text, and timestamped segments.

Enables AI models to read and edit your own BandLab songs via natural-language prompts, performing concrete mix operations like adjusting track levels, pan, effects, and arrangement while creating new non-destructive revisions.

Enables conversational live coding with Claude AI and TidalCycles for algorithmic music composition, allowing natural language control of patterns, channels, and state.

Provides local audio transcription using whisper.cpp, supporting multiple models and audio formats. Enables transcription of audio files via MCP tools with optional timestamps.

Lets users shape Space Dust synthesizer presets by describing the sound they want in natural language, instead of turning knobs. It reads, creates, adjusts, and compares preset files, with safety rails and live updates.

Autonomous music intelligence & A&R qualification engine. Extracts acoustic metadata (BPM, key, mood), scores real-time Spotify streaming traction, and detects AI-generated audio (Suno/Udio).

Enables natural language control of Wwise audio middleware, allowing project auditing, batch editing, event creation, and reference checking through conversational interaction.

Enables AI agents to generate speech using Gemini TTS models, with tools for text-to-speech, task polling, and pricing checks.

MCP server that enables natural language control of internet radio from Claude Code, with access to 30,000+ global stations, auto-playback via mpv, and a real-time status line with audio spectrum visualization.

Gemini Audio MCP is a high-performance Model Context Protocol (MCP) server that leverages the power of the Gemini 2.0 Multimodal Live API to generate high-fidelity, environmental soundscapes on-demand.